The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.
翻訳待ち
開発ツールTypeScript · JavaScriptGitHub @microsoft自分でインストール所有者未確認
Paste into Claude or ChatGPT for installation instructions suited to your environment.
Have you tried it? One tap is enough. No sign-in needed.
The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
Loading the full README.
Read the full README ↗[!IMPORTANT] We recommend using the Remote MCP Server instead of this local server. It requires no installation and gets new features first.
This project gives AI agents access to Azure DevOps through the Model Context Protocol (MCP). Use the hosted remote server for the simplest setup, or run the local server when you need a stdio connection.
The Azure DevOps MCP Server brings Azure DevOps context to your agents. Try prompts like:
Each tool handles a focused Azure DevOps task. The server provides a thin layer over the REST APIs, while the AI agent handles higher-level reasoning.
For complete instructions, see the Remote MCP Server onboarding documentation.
The remote server will eventually replace the local server. The local server remains supported, but new development will focus on the remote server. Existing local server users should begin planning their migration.
If you encounter issues with tools, need support, or have a feature request, you can report an issue using the Remote MCP Server issue template. During the preview period, we will track Remote MCP Server issues through this repository.
Create .vscode/mcp.json in your project and add this configuration. Replace {organization} with your Azure DevOps organization name.
{
"servers": {
"ado-remote-mcp": {
"url": "https://mcp.dev.azure.com/{organization}",
"type": "http"
}
},
"inputs": []
}
See the remote server configuration documentation for more options.
After saving .vscode/mcp.json, start the server from the MCP view in VS Code, then run a prompt like List ADO projects.
See the Available Tools documentation for the complete list of available remote tools.
For the complete list of local tools, see TOOLSET.md.
[!IMPORTANT] Start with the Remote MCP Server first. Use the local MCP Server only if your scenario specifically requires a local
stdiosetup.
These steps use Visual Studio Code and GitHub Copilot. For other supported clients, including Visual Studio 2022, Codex, Claude Code, Cursor, OpenCode, and Kilo Code, see the getting started guide.
.vscode/mcp.json in your project.{
"servers": {
"ado": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@azure-devops/mcp", "{organization}"]
}
}
}
ado server from the MCP view in VS Code.List ADO projects.To use nightly builds, replace @azure-devops/mcp with @azure-devops/mcp@next in the configuration.
For better tool selection, add .github/copilot-instructions.md to your project with this instruction:
This project uses Azure DevOps. Always check whether the Azure DevOps MCP server has a tool relevant to the user's request.
The local server includes many tools. Domains let you load only the tool groups you need, which keeps the tool list manageable and helps clients with tool limits. Available domains are core, work, work-items, search, test-plans, repositories, wiki, pipelines, and advanced-security.
Add -d followed by the domains to the server arguments. For example, this configuration loads only work item-related tools:
{
"servers": {
"ado_with_filtered_domains": {
"type": "stdio",
"command": "npx",
"args": ["-y", "@azure-devops/mcp", "{organization}", "-d", "core", "work", "work-items"]
}
}
}
This is the beginning of the README. Read the rest at the original. Read the full README ↗